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Dmytro Korolov

成为会员时间：2022

黄金联赛

37495 积分
Google Cloud 重要基础设施：基础 Earned May 29, 2025 EDT
Managing Cloud Infrastructure with Terraform Earned May 20, 2025 EDT
在 Google Cloud 上将应用与 Gemini 1.0 Pro 集成 Earned May 15, 2025 EDT
Developing Applications with Cloud Run on Google Cloud: Fundamentals Earned May 14, 2025 EDT
借助 Gemini Code Assist 简化应用开发 Earned May 13, 2025 EDT
Developing Containerized Applications on Google Cloud Earned Apr 30, 2025 EDT
Developing Applications with Cloud Run Functions on Google Cloud Earned Apr 24, 2025 EDT
Service Orchestration and Choreography on Google Cloud Earned Apr 18, 2025 EDT
Developing Applications with Google Cloud: Foundations Earned Apr 15, 2025 EDT
Introduction to Application Integration for Integration Developer Earned Jan 21, 2025 EST
Building No-Code Apps with AppSheet: Foundations Earned Dec 18, 2024 EST
Application Development with Cloud Run Earned Dec 12, 2024 EST
App Deployment, Debugging, and Performance Earned Oct 16, 2024 EDT
Google Cloud Big Data and Machine Learning Fundamentals Earned Oct 4, 2024 EDT
Managing Security in Google Cloud Earned Sep 20, 2024 EDT
Generative AI in App Integration Earned Aug 29, 2024 EDT
Upgrading and Monitoring the Apigee Hybrid API Platform Earned Jul 10, 2024 EDT
Managing and Securing the Apigee Hybrid API Platform Earned Jul 5, 2024 EDT
Architecting and Installing the Apigee Hybrid API Platform Earned Jul 3, 2024 EDT
Google Cloud 基础知识：核心基础设施 Earned Jun 8, 2023 EDT
API Development on Google Cloud's Apigee API Platform Earned Jun 7, 2023 EDT
API Security on Google Cloud's Apigee API Platform Earned Jun 2, 2023 EDT
API Design and Fundamentals of Google Cloud's Apigee API Platform Earned Oct 28, 2022 EDT
Develop and Secure APIs with Apigee X Earned Jun 29, 2022 EDT
Deploy and Manage Apigee X Earned Jun 28, 2022 EDT

这门自助式速成课程向学员介绍 Google Cloud 提供的灵活全面的基础架构和平台服务，其中着重介绍了 Compute Engine。学员将通过一系列视频讲座、演示和动手实验，探索和部署各种解决方案元素，包括网络、虚拟机和应用服务等基础架构组件。您将学习如何通过控制台和 Cloud Shell 使用 Google Cloud。您还将了解云架构师角色、基础架构设计方法以及虚拟网络配置和虚拟私有云 (VPC)、项目、网络、子网、IP 地址、路由及防火墙规则。

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In this Quest, the experienced user of Google Cloud will learn how to describe and launch cloud resources with Terraform, an open source tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned. In these nine hands-on labs, you will work with example templates and understand how to launch a range of configurations, from simple servers, through full load-balanced applications.

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这一简短的课程将介绍如何在 Google Cloud 上将应用与 Gemini 1.0 Pro 模型集成，可帮助您探索 Gemini API 及其生成式 AI 模型。此课程会教您如何通过代码访问 Gemini 1.0 Pro 和 Gemini 1.0 Pro Vision 模型。课程会安排您在应用中使用文本、图片和视频提示来测试这些模型的功能。

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This course introduces the Cloud Run serverless platform for running applications. In this course, you learn about the fundamentals of Cloud Run, its resource model and the container lifecycle. You learn about service identities, how to control access to services, and how to develop and test your application locally before deploying it to Cloud Run. The course also teaches you how to integrate with other services on Google Cloud so you can build full-featured applications.

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本课程专为各个级别的开发者打造，您将学到 Gemini Code Assist 的核心特性和功能。Gemini Code Assist 依托 AI 技术，可协助您在 Google Cloud 上进行应用开发。从智能代码建议、自动补全、实时错误检测到重构辅助，您将发现 Gemini Code Assist 如何显著提升开发效率和代码质量，帮助您节省宝贵时间，专注于更具价值和趣味性的任务。

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In this course, you learn about containers and how to build, and package container images. The content in this course includes best practices for creating and securing containers, and provides an introduction to Cloud Run and Google Kubernetes Engine for application developers.

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In this course, you learn about Cloud Run functions, Google's serverless, fully-managed functions as a service (FaaS) product that lets you implement single-purpose function code that reponds to HTTP requests and events from your cloud infrastructure.

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This course introduces you to event-based applications and teaches you how to use service orchestration and choreography to coordinate microservices. Using lectures and hands-on labs, you learn how to use Workflows, Eventarc, Cloud Tasks, and Cloud Scheduler to build microservices applications on Google Cloud.

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In this course, you learn the fundamentals of application development on Google Cloud. You learn best practices for cloud applications, and how to select compute and data options to match your application use cases. You're introduced to generative AI and how it's used to help build applications. You learn about authentication and authorization, application deployment, continuous integration and delivery, and monitoring and performance tuning for your applications running in Google Cloud. Using lectures and hands-on labs, you learn how to get started building and running applications on Google Cloud.

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This course introduces you to the fundamentals of Application Integration, covering the skills needed to be an Integration Developer with the Application Integration product.

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In this course you will learn the fundamentals of no-code app development and recognize use cases for no-code apps. The course provides an overview of the AppSheet no-code app development platform and its capabilities. You learn how to create an app with data from spreadsheets, create the app’s user experience using AppSheet views and publish the app to end users.

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This course introduces you to fundamentals, practices, capabilities and tools applicable to modern cloud-native application development using Google Cloud Run. Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to on Google Cloud using Cloud Run.design, implement, deploy, secure, manage, and scale applications

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In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate components from the Google Cloud ecosystem. Through a combination of presentations, demos, and hands-on labs, participants learn how to create repeatable deployments by treating infrastructure as code, choose the appropriate application execution environment for an application, and monitor application performance. Completing one version of each lab is required. Each lab is available in Node.js. In most cases, the same labs are also provided in Python or Java. You may complete each lab in whichever language you prefer.

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This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.

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This self-paced training course gives participants broad study of security controls and techniques on Google Cloud. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure Google Cloud solution, including Cloud Identity, Resource Manager, IAM, Virtual Private Cloud firewalls, Cloud Load Balancing, Cloud Peering, Cloud Interconnect, and VPC Service Controls. This is the first course of the Security in Google Cloud series. After completing this course, enroll in the Security Best Practices in Google Cloud course.

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Explore Generative AI in API management and Application Integration, including Duet AI in Apigee, and extensions for Vertex AI. Discover the new opportunities with generative AI, including conversational APIs, Auto-Operators, and API growth. Use Duet AI to create an API specification in-context, and use Duet AI to create an integration. Use Duet AI in Apigee API Hub, and create an LLM extension.

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This course discusses the upgrade process for Apigee hybrid, and teaches you how to monitor and troubleshoot the hybrid runtime plane components.

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This course discusses how environments are managed in Apigee hybrid, and how runtime plane components are secured. You will also learn how to deploy and debug API proxies in Apigee hybrid, and about capacity planning and scaling.

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This course introduces you to the fundamentals and practices used to install and manage Google Cloud's Apigee API Platform for hybrid cloud. Through a combination of lectures, a hands-on lab, and supplemental materials, you will learn how to install and operate the Apigee API Platform.

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“Google Cloud 基础知识：核心基础设施”介绍在使用 Google Cloud 时会遇到的重要概念和术语。本课程通过视频和实操实验来介绍并比较 Google Cloud 的多种计算和存储服务，并提供重要的资源和政策管理工具。

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In this course, you learn how to create APIs that utilize multiple services and how you can use custom code on Apigee. You will also learn about fault handling, and how to share logic between proxies. You learn about traffic management and caching. You also create a developer portal, and publish your API to the portal. You learn about logging and analytics, as well as CI/CD and the different deployment models supported by Apigee. Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to design, build, secure, deploy, and manage API solutions using Google Cloud's Apigee API Platform.This is the third and final course of the Developing APIs with Google Cloud's Apigee API Platform course series.

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In this course, you learn how to secure your APIs. You explore the security concerns you will encounter for your APIs. You learn about OAuth, the primary authorization method for REST APIs. You will learn about JSON Web Tokens (JWTs) and federated security. You also learn about securing against malicious requests, safely sending requests across a public network, and how to secure your data for users of Apigee. Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to design, build, secure, deploy, and manage API solutions using Google Cloud's Apigee API Platform. This is the second course of the Developing APIs with Google Cloud's Apigee API Platform series. After completing this course, enroll in the API Development on Google Cloud's Apigee API Platform course.

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In this course, you learn how to design APIs, and how to use OpenAPI specifications to document them. You learn about the API life cycle, and how the Apigee API platform helps you manage all aspects of the life cycle. You learn about how APIs can be designed using API proxies, and how APIs are packaged as API products to be used by app developers. Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to design, build, secure, deploy, and manage API solutions using Google Cloud's Apigee API Platform. This is the first course of the Developing APIs with Google Cloud's Apigee API Platform series. After completing this course, enroll in the API Security on Google Cloud's Apigee API Platform course.

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Earn a skill badge by completing the Develop and Secure APIs with Apigee X skill badge course, where you learn how to modernize your APIs, use service accounts and Google Authentication to securely access backend services from Apigee API proxies, productize APIs using API products and developer portals, secure APIs using features like API keys, OAuth, private variables and fault handling, integrate Apigee with Google Cloud services like Pub/Sub and Cloud Logging, and call Google Cloud APIs like the Natural Language API and the Geocoding API.

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Earn a skill badge by completing the Deploy and Manage Apigee X skill badge course, where you learn about the Apigee X architecture, how to provision an Apigee X organization within a Google Cloud project, the management of Apigee X using the Apigee API and UI, and the use of Cloud Armor and Apigee threat protection policies to protect your APIs.

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